class_docstr: Example:
      >>> #The dataset is split into data, validation_data
      >>> model = ARIMAForecaster(p=2, q=2, seasonality_mode=False)
      >>> model.fit(data, validation_data)
      >>> predict_result = model.predict(horizon=24)
code: def _check_data(self, data, validation_data):
      assert (
          data.ndim == 1
      ), "data should be an 1-D array), \
              Got data dimension of {}.".format(
          data.ndim
      )
      assert (
          validation_data.ndim == 1
      ), "validation_data should be an 1-D array), \
              Got validation_data dimension of {}.".format(
          validation_data.ndim
      )
  
file_path: analytics-zoo/pyzoo/zoo/chronos/forecaster/arima_forecaster.py
imports: from zoo.chronos.forecaster.abstract import Forecaster
  from zoo.chronos.model.arima import ARIMAModel
label_desc: Use image node_id 3 for calling the ARIMAForecaster obj's underlying member method code with example usage: obj._check_data(data, validation_data) without return types